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2020 – today
- 2024
[c13]Shao-Hung Chan, Zhe Chen, Dian-Lun Lin, Yue Zhang, Daniel Harabor, Sven Koenig, Tsung-Wei Huang, Thomy Phan:
Anytime Multi-Agent Path Finding using Operation Parallelism in Large Neighborhood Search. AAMAS 2024: 2183-2185- [c12]Che Chang, Tsung-Wei Huang, Dian-Lun Lin, Guannan Guo, Shiju Lin:
Ink: Efficient Incremental k-Critical Path Generation. DAC 2024: 11:1-11:6 - [c11]Boyang Zhang, Dian-Lun Lin, Che Chang, Cheng-Hsiang Chiu, Bojue Wang, Wan-Luan Lee, Chih-Chun Chang, Donghao Fang, Tsung-Wei Huang:
G-PASTA: GPU-Accelerated Partitioning Algorithm for Static Timing Analysis. DAC 2024: 76:1-76:6 - [c10]Wan Luan Lee, Dian-Lun Lin, Tsung-Wei Huang, Shui Jiang, Tsung-Yi Ho, Yibo Lin, Bei Yu:
G-kway: Multilevel GPU-Accelerated k-way Graph Partitioner. DAC 2024: 105:1-105:6 - [c9]Dian-Lun Lin, Umit Ogras, Joshua San Miguel, Tsung-Wei Huang:
TaroRTL: Accelerating RTL Simulation Using Coroutine-Based Heterogeneous Task Graph Scheduling. Euro-Par (3) 2024: 151-166 - [c8]Tsung-Wei Huang
, Boyang Zhang, Dian-Lun Lin, Cheng-Hsiang Chiu:
Parallel and Heterogeneous Timing Analysis: Partition, Algorithm, and System. ISPD 2024: 51-59 - [i2]Shao-Hung Chan, Zhe Chen, Dian-Lun Lin, Yue Zhang, Daniel Harabor, Tsung-Wei Huang, Sven Koenig, Thomy Phan:
Anytime Multi-Agent Path Finding using Operation Parallelism in Large Neighborhood Search. CoRR abs/2402.01961 (2024) - 2023
- [c7]Dian-Lun Lin, Yanqing Zhang, Haoxing Ren, Brucek Khailany, Shih-Hsin Wang, Tsung-Wei Huang:
GenFuzz: GPU-accelerated Hardware Fuzzing using Genetic Algorithm with Multiple Inputs. DAC 2023: 1-6 - [c6]Cheng-Hsiang Chiu, Dian-Lun Lin, Tsung-Wei Huang:
Invited Paper: Programming Dynamic Task Parallelism for Heterogeneous EDA Algorithms. ICCAD 2023: 1-8 - [c5]Elmir Dzaka, Dian-Lun Lin, Tsung-Wei Huang:
Parallel And-Inverter Graph Simulation Using a Task-graph Computing System. IPDPS Workshops 2023: 923-929 - 2022
- [j3]Tsung-Wei Huang, Dian-Lun Lin, Yibo Lin, Chun-Xun Lin:
Taskflow: A General-Purpose Parallel and Heterogeneous Task Programming System. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(5): 1448-1452 (2022) - [j2]Tsung-Wei Huang, Dian-Lun Lin, Chun-Xun Lin, Yibo Lin:
Taskflow: A Lightweight Parallel and Heterogeneous Task Graph Computing System. IEEE Trans. Parallel Distributed Syst. 33(6): 1303-1320 (2022) - [j1]Dian-Lun Lin, Tsung-Wei Huang:
Accelerating Large Sparse Neural Network Inference Using GPU Task Graph Parallelism. IEEE Trans. Parallel Distributed Syst. 33(11): 3041-3052 (2022) - [c4]Dian-Lun Lin, Haoxing Ren, Yanqing Zhang, Brucek Khailany, Tsung-Wei Huang:
From RTL to CUDA: A GPU Acceleration Flow for RTL Simulation with Batch Stimulus. ICPP 2022: 88:1-88:12 - 2021
- [c3]Dian-Lun Lin, Tsung-Wei Huang:
Efficient GPU Computation Using Task Graph Parallelism. Euro-Par 2021: 435-450 - [c2]Cheng-Hsiang Chiu, Dian-Lun Lin, Tsung-Wei Huang:
An Experimental Study of SYCL Task Graph Parallelism for Large-Scale Machine Learning Workloads. Euro-Par Workshops 2021: 468-479 - 2020
- [c1]Dian-Lun Lin, Tsung-Wei Huang:
A Novel Inference Algorithm for Large Sparse Neural Network using Task Graph Parallelism. HPEC 2020: 1-7 - [i1]Tsung-Wei Huang, Dian-Lun Lin, Yibo Lin, Chun-Xun Lin:
Cpp-Taskflow v2: A General-purpose Parallel and Heterogeneous Task Programming System at Scale. CoRR abs/2004.10908 (2020)
Coauthor Index
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